Browsing by Author "Vosmeier, Aaron"

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    Amyloid and Tau Pathology are Associated with Cerebral Blood Flow in a Mixed Sample of Nondemented Older Adults with and without Vascular Risk Factors for Alzheimer’s Disease
    (Elsevier, 2023) Swinford, Cecily G.; Risacher, Shannon L.; Vosmeier, Aaron; Deardorff, Rachael; Chumin, Evgeny J.; Dzemidzic, Mario; Wu, Yu-Chien; Gao, Sujuan; McDonald, Brenna C.; Yoder, Karmen K.; Unverzagt, Frederick W.; Wang, Sophia; Farlow, Martin R.; Brosch, Jared R.; Clark, David G.; Apostolova, Liana G.; Sims, Justin; Wang, Danny J.; Saykin, Andrew J.; Radiology and Imaging Sciences, School of Medicine
    Identification of biomarkers for the early stages of Alzheimer's disease (AD) is an imperative step in developing effective treatments. Cerebral blood flow (CBF) is a potential early biomarker for AD; generally, older adults with AD have decreased CBF compared to normally aging peers. CBF deviates as the disease process and symptoms progress. However, further characterization of the relationships between CBF and AD risk factors and pathologies is still needed. We assessed the relationships between CBF quantified by arterial spin-labeled magnetic resonance imaging, hypertension, APOEε4, and tau and amyloid positron emission tomography in 77 older adults: cognitively normal, subjective cognitive decline, and mild cognitive impairment. Tau and amyloid aggregation were related to altered CBF, and some of these relationships were dependent on hypertension or APOEε4 status. Our findings suggest a complex relationship between risk factors, AD pathologies, and CBF that warrants future studies of CBF as a potential early biomarker for AD.
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    Association between BrainAGE and Alzheimer's disease biomarkers
    (Wiley, 2025-02-27) Abughofah, Yousaf; Deardorff, Rachael; Vosmeier, Aaron; Hottle, Savannah; Dage, Jeffrey L.; Dempsey, Desarae; Apostolova, Liana G.; Brosch, Jared; Clark, David; Farlow, Martin; Foroud, Tatiana; Gao, Sujuan; Wang, Sophia; Zetterberg, Henrik; Blennow, Kaj; Saykin, Andrew J.; Risacher, Shannon L.; Radiology and Imaging Sciences, School of Medicine
    Introduction: The brain age gap estimation (BrainAGE) method uses a machine learning model to generate an age estimate from structural magnetic resonance imaging (MRI) scans. The goal was to study the association of brain age with Alzheimer's disease (AD) imaging and plasma biomarkers. Methods: One hundred twenty-three individuals from the Indiana Memory and Aging Study underwent structural MRI, amyloid and tau positron emission tomography (PET), and plasma sampling. The MRI scans were processed using the software program BrainAgeR to receive a "brain age" estimate. Plasma biomarker concentrations were measured, and partial Pearson correlation models were used to evaluate their relationship with brain age gap (BAG) estimation (BrainAGE = chronological age - MRI estimated brain age). Results: Significant associations between BAG and amyloid and tau levels on PET and in plasma were observed depending on diagnostic categories. Discussion: These findings suggest that BAG is potentially a biomarker of pathology in AD which can be applied to routine brain imaging. Highlights: Novel research that uses an artificial intelligence learning tool to estimate brain age. Findings suggest that brain age gap is associated with plasma and positron emission tomography Alzheimer's disease (AD) biomarkers. Differential relationships are seen in different stages of disease (preclinical vs. clinical). Results could play a role in early AD diagnosis and treatment.
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    Association of Brain Volume and Retinal Thickness in the Early Stages of Alzheimer’s Disease
    (IOS Press, 2023) Mathew, Sunu; WuDunn, Darrell; Mackay, Devin D.; Vosmeier, Aaron; Tallman, Eileen F.; Deardorff, Rachael; Harris, Alon; Farlow, Martin R.; Brosch, Jared R.; Gao, Sujuan; Apostolova, Liana G.; Saykin, Andrew J.; Risacher, Shannon L.; Radiology and Imaging Sciences, School of Medicine
    Background: The eye has been considered a 'window to the brain,' and several neurological diseases including neurodegenerative conditions like Alzheimer's disease (AD) also show changes in the retina. Objective: To investigate retinal nerve fiber layer (RNFL) thickness and its association with brain volume via magnetic resonance imaging (MRI) in older adults with subjective or objective cognitive decline. Methods: 75 participants underwent ophthalmological and neurological evaluation including optical coherence tomography and MRI (28 cognitively normal subjects, 26 with subjective cognitive decline, 17 patients diagnosed with mild cognitive impairment, and 4 with AD). Differences in demographics, thickness of RNFL, and brain volume were assessed using ANCOVA, while partial Pearson correlations, covaried for age and sex, were used to compare thickness of the peripapillary RNFL with brain volumes, with p < 0.05 considered statistically significant. Results: Mean RNFL thickness was significantly correlated with brain volumes, including global volume (right eye r = 0.235 p = 0.046, left eye r = 0.244, p = 0.037), temporal lobe (right eye r = 0.242 p = 0.039, left eye r = 0.290, p = 0.013), hippocampal (right eye r = 0.320 p = 0.005, left eye r = 0.306, p = 0.008), amygdala (left eye r = 0.332, p = 0.004), and occipital lobe (right eye r = 0.264 p = 0.024) volumes. Conclusion: RNFL thickness in both eyes was positively associated with brain volumes in subjects with subjective and objective cognitive decline. The RNFL, however, did not correlate with the disease, but the small sample number makes it important to conduct larger studies. RNFL thickness may be a useful non-invasive and inexpensive tool for detection of brain neurodegeneration and may assist with diagnosis and monitoring of progression and treatment in AD.
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    Relationship of retinal vasculature with measures of amyloid, tau, and neurodegeneration across the AD continuum
    (Wiley, 2025-01-09) Mathew, Sunu; Mackay, Devin; Tallman, Eileen F.; Deardorff, Rachael; Hottle, Savannah; Vosmeier, Aaron; Clark, David G.; Farlow, Martin R.; Brosch, Jared R.; Gao, Sujuan; Apostolova, Liana G.; Saykin, Andrew J.; Risacher, Shannon L.; Neurology, School of Medicine
    Background: The eye often reflects changes seen in the brain in neurodegenerative diseases. This study sought to examine the relationship of retinal vasculature measured using optical coherence tomography angiography (OCTA) with temporal lobe neurodegeneration, and cerebral amyloid and tau deposition, in older adults along the Alzheimer’s disease (AD) continuum. Method: Participants included 13 cognitively normal subjects, 5 with subjective cognitive decline (SCD), 7 with cognitive impairment (mild cognitive impairment [MCI] and AD) from the Indiana Memory and Aging Study at the Indiana ADRC. Participants were excluded from the study if they had significant eye disease determined to interfere with OCTA, non‐AD dementia, or exclusion for MRI or PET. OCTA scans were obtained from each eye to measure retinal vessel density and perfusion density. MRI scans were processed using Freesurfer v6 to measure medial (MTL) and lateral temporal lobe (LTL) volumes. LTL SUVR values were extracted from [18F]flortaucipir PET scans. Finally, the association between retinal perfusion and vessel density with hippocampal volume, MTL tau, and lateral parietal amyloid was assessed using a partial Pearson correlation, covaried for age, sex, and diagnosis. p<0.05 was considered significant. Result: Retinal vessel and perfusion density were decreased in patients with AD. The right and left hippocampal volume were significantly correlated with retinal vessel density and perfusion density in the right eye and left hippocampal volume was correlated with vessel density in the left eye, but it did not reach significance. The retinal vessel density and perfusion density in the right eye correlated significantly with lateral parietal lobe amyloid and medial temporal lobe tau. Finally, the total gray matter volume correlated significantly with the retinal vessel density and perfusion density in the right eye and inversely with the foveal avascular zone in the right eye. Conclusion: Retinal perfusion and vessel density correlates with hippocampal atrophy, and general atrophy of the gray matter. It is also significantly correlated with the deposition of amyloid and tau in the brain. Imaging the retinal vasculature may represent a useful biomarker to screen patients at risk for AD prior to more invasive and prolonged testing.